Metadata-Version: 2.1
Name: pythonvrft
Version: 0.0.5
Summary: VRFT Python Library
Home-page: https://github.com/rssalessio/PythonVRFT/
Author: Alessio Russo
Author-email: alessior@kth.se
License: GPL3
Description: # PythonVRFT Library - Version 0.0.5
        VRFT Adaptive Control Library written in Python. Aim of this library is to provide an implementation of the VRFT (Virtual Reference Feedback Tuning) algorithm.
        
        You can find the package also at the following [link](https://pypi.org/project/pythonvrft/)
        
        _Author_: Alessio Russo (PhD Student at KTH - alesssior@kth.se)
        
        
        ![alt tag](https://github.com/rssalessio/PythonVRFT/blob/master/examples/example2.png)
        ## License
        Our code is released under the GPLv3 license (refer to the [LICENSE](https://github.com/rssalessio/PythonVRFT/blob/master/LICENSE) file for details).
        
        ## Requirements
        To run the library you need atleast Python 3.5.
        
        Other dependencies:
        - NumPy (1.19.5)
        - SciPy (1.6.0)
        
        ## Installation
        Check the requirements, but the following command should install all the packages.
        Run the following command from  root folder:
        ```sh
        pip install . 
        ``` 
        
        ## Examples
        Examples are located in the examples/ folder. At the moment there are examples available. 
        Check example3 to see usage of instrumental variables.
        
        ## Tests
        To execute tests run the following command
        ```sh
        python -m unittest
        ``` 
        
        ## Changelog
        - [**V. 0.0.2**][26.03.2017] Implement the basic VRFT algorithm (1 DOF. offline, linear controller, controller expressed as scalar product theta*f(z))
        - [**V. 0.0.3**][05.01.2020] Code refactoring and conversion to Python 3; Removed support for Python Control library.
        - [**V. 0.0.5**][08.01.2020] Add Instrumental Variables (IVs) Support
        - [**In Progress**][07.01.2020-] Add Documentation and Latex formulas
        - [**TODO**] Add MIMO Support
        - [**TODO**] Generalize to other kind of controllers (e.g., neural nets)
        - [**TODO**] Add Cython support
        
        ## Citations
        If you find this code useful in your research, please, consider citing it:
        >@misc{pythonvrft,
        >  author       = {Alessio Russo},
        >  title        = {Python VRFT Library},
        >  year         = 2020,
        >  doi          = {},
        >  url          = { https://github.com/rssalessio/PythonVRFT }
        >}
        
        [![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)
Keywords: VRFT,Virtual Reference Feedback Tuning,Data Driven Control,Adaptive Control
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 3 - Alpha
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.5
Description-Content-Type: text/markdown
